alexa Modeling And Analyzing The Dynamics Of Epidemic Spreading On Homogenous And Heterogeneous Networks | 17897
ISSN: 2161-1165

Epidemiology: Open Access
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

2nd International Conference on Epidemiology & Evolutionary Genetics

Lequan Min and Yao Hu
ScientificTracks Abstracts: Epidemiol
DOI: 10.4172/2161-1165.S1.006
Abstract
T his study proposes the two modified susceptible-infected-recovered-susceptible (SIRS) models on homogenous and heterogeneous networks to describe epidemic spreading. The SIRS models consider the role of vaccinated population and different death rates for susceptible individuals and infectious individuals. It has been proved that if the basic reproduction number R 0 of the model is less than one, then the disease-free sate is locally stable. The disease will disappear if the threshold value R 1 of the model is less than one. Otherwise, if R 0 >1 and under some assumption, the total population N will tend to a specific plane. In the study of the heterogeneous network model, this paper discusses the existence of the disease-free equilibrium and endemic equilibrium of the model. It is proved that if the threshold value R 0 is less than one, then the disease will disappear. Otherwise if R 0 is more than one, the system is permanent. The analysis shows that high percentage of vaccinated population, low connectivity between the susceptible and infectious, and high death rate of infected population are important factors to make epidemic diseases disappear. Numerical simulations are given to illustrate the theoretical results. This study will numerically predict the effect of vaccination ratio on the size of HBV infected mainland Chinese population. Acknowledgements: This research is supported by the National Natural Science Foundation of China under Grant No. 61074192.
Biography
Lequan Min is currently a Professor in Mathematics and Physics School, and the PhD supervisor with the Automation School at the University of Science and Technology Beijing. His current research interests are modeling and simulations of complex systems in particular to the virus infections and epidemic spreading. He is also the author or co-author of over 200 scientific journal and conference papers.
image PDF   |   image HTML
 

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
Leave Your Message 24x7